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Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts

PURPOSE: Ring sideroblasts (RS) define the low-risk myelodysplastic neoplasm (MDS) subgroup with RS but may also reflect erythroid dysplasia in higher risk myeloid neoplasm. The benign behavior of MDS with RS (MDS(RS+)) is limited to SF3B1-mutated cases without additional high-risk genetic events, b...

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Autores principales: Todisco, Gabriele, Creignou, Maria, Bernard, Elsa, Björklund, Ann-Charlotte, Moura, Pedro Luis, Tesi, Bianca, Mortera-Blanco, Teresa, Sander, Birgitta, Jansson, Monika, Walldin, Gunilla, Barbosa, Indira, Reinsbach, Susanne E., Hofman, Isabel Juliana, Nilsson, Christer, Yoshizato, Tetsuichi, Dimitriou, Marios, Chang, David, Olafsdottir, Svannildur, Venckute Larsson, Sigita, Tobiasson, Magnus, Malcovati, Luca, Woll, Petter, Jacobsen, Sten Eirik W., Papaemmanuil, Elli, Hellström-Lindberg, Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570683/
https://www.ncbi.nlm.nih.gov/pubmed/37498312
http://dx.doi.org/10.1158/1078-0432.CCR-23-0538
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author Todisco, Gabriele
Creignou, Maria
Bernard, Elsa
Björklund, Ann-Charlotte
Moura, Pedro Luis
Tesi, Bianca
Mortera-Blanco, Teresa
Sander, Birgitta
Jansson, Monika
Walldin, Gunilla
Barbosa, Indira
Reinsbach, Susanne E.
Hofman, Isabel Juliana
Nilsson, Christer
Yoshizato, Tetsuichi
Dimitriou, Marios
Chang, David
Olafsdottir, Svannildur
Venckute Larsson, Sigita
Tobiasson, Magnus
Malcovati, Luca
Woll, Petter
Jacobsen, Sten Eirik W.
Papaemmanuil, Elli
Hellström-Lindberg, Eva
author_facet Todisco, Gabriele
Creignou, Maria
Bernard, Elsa
Björklund, Ann-Charlotte
Moura, Pedro Luis
Tesi, Bianca
Mortera-Blanco, Teresa
Sander, Birgitta
Jansson, Monika
Walldin, Gunilla
Barbosa, Indira
Reinsbach, Susanne E.
Hofman, Isabel Juliana
Nilsson, Christer
Yoshizato, Tetsuichi
Dimitriou, Marios
Chang, David
Olafsdottir, Svannildur
Venckute Larsson, Sigita
Tobiasson, Magnus
Malcovati, Luca
Woll, Petter
Jacobsen, Sten Eirik W.
Papaemmanuil, Elli
Hellström-Lindberg, Eva
author_sort Todisco, Gabriele
collection PubMed
description PURPOSE: Ring sideroblasts (RS) define the low-risk myelodysplastic neoplasm (MDS) subgroup with RS but may also reflect erythroid dysplasia in higher risk myeloid neoplasm. The benign behavior of MDS with RS (MDS(RS+)) is limited to SF3B1-mutated cases without additional high-risk genetic events, but one third of MDS(RS+) carry no SF3B1 mutation, suggesting that different molecular mechanisms may underlie RS formation. We integrated genomic and transcriptomic analyses to evaluate whether transcriptome profiles may improve current risk stratification. EXPERIMENTAL DESIGN: We studied a prospective cohort of MDS(RS+) patients irrespective of World Health Organization (WHO) class with regard to somatic mutations, copy-number alterations, and bone marrow CD34(+) cell transcriptomes to assess whether transcriptome profiles add to prognostication and provide input on disease classification. RESULTS: SF3B1, SRSF2, or TP53 multihit mutations were found in 89% of MDS(RS+) cases, and each mutation category was associated with distinct clinical outcome, gene expression, and alternative splicing profiles. Unsupervised clustering analysis identified three clusters with distinct hemopoietic stem and progenitor (HSPC) composition, which only partially overlapped with mutation groups. IPSS-M and the transcriptome-defined proportion of megakaryocyte/erythroid progenitors (MEP) independently predicted survival in multivariable analysis. CONCLUSIONS: These results provide essential input on the molecular basis of SF3B1-unmutated MDS(RS+) and propose HSPC quantification as a prognostic marker in myeloid neoplasms with RS.
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spelling pubmed-105706832023-10-14 Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts Todisco, Gabriele Creignou, Maria Bernard, Elsa Björklund, Ann-Charlotte Moura, Pedro Luis Tesi, Bianca Mortera-Blanco, Teresa Sander, Birgitta Jansson, Monika Walldin, Gunilla Barbosa, Indira Reinsbach, Susanne E. Hofman, Isabel Juliana Nilsson, Christer Yoshizato, Tetsuichi Dimitriou, Marios Chang, David Olafsdottir, Svannildur Venckute Larsson, Sigita Tobiasson, Magnus Malcovati, Luca Woll, Petter Jacobsen, Sten Eirik W. Papaemmanuil, Elli Hellström-Lindberg, Eva Clin Cancer Res Translational Cancer Mechanisms and Therapy PURPOSE: Ring sideroblasts (RS) define the low-risk myelodysplastic neoplasm (MDS) subgroup with RS but may also reflect erythroid dysplasia in higher risk myeloid neoplasm. The benign behavior of MDS with RS (MDS(RS+)) is limited to SF3B1-mutated cases without additional high-risk genetic events, but one third of MDS(RS+) carry no SF3B1 mutation, suggesting that different molecular mechanisms may underlie RS formation. We integrated genomic and transcriptomic analyses to evaluate whether transcriptome profiles may improve current risk stratification. EXPERIMENTAL DESIGN: We studied a prospective cohort of MDS(RS+) patients irrespective of World Health Organization (WHO) class with regard to somatic mutations, copy-number alterations, and bone marrow CD34(+) cell transcriptomes to assess whether transcriptome profiles add to prognostication and provide input on disease classification. RESULTS: SF3B1, SRSF2, or TP53 multihit mutations were found in 89% of MDS(RS+) cases, and each mutation category was associated with distinct clinical outcome, gene expression, and alternative splicing profiles. Unsupervised clustering analysis identified three clusters with distinct hemopoietic stem and progenitor (HSPC) composition, which only partially overlapped with mutation groups. IPSS-M and the transcriptome-defined proportion of megakaryocyte/erythroid progenitors (MEP) independently predicted survival in multivariable analysis. CONCLUSIONS: These results provide essential input on the molecular basis of SF3B1-unmutated MDS(RS+) and propose HSPC quantification as a prognostic marker in myeloid neoplasms with RS. American Association for Cancer Research 2023-10-13 2023-07-27 /pmc/articles/PMC10570683/ /pubmed/37498312 http://dx.doi.org/10.1158/1078-0432.CCR-23-0538 Text en ©2023 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
spellingShingle Translational Cancer Mechanisms and Therapy
Todisco, Gabriele
Creignou, Maria
Bernard, Elsa
Björklund, Ann-Charlotte
Moura, Pedro Luis
Tesi, Bianca
Mortera-Blanco, Teresa
Sander, Birgitta
Jansson, Monika
Walldin, Gunilla
Barbosa, Indira
Reinsbach, Susanne E.
Hofman, Isabel Juliana
Nilsson, Christer
Yoshizato, Tetsuichi
Dimitriou, Marios
Chang, David
Olafsdottir, Svannildur
Venckute Larsson, Sigita
Tobiasson, Magnus
Malcovati, Luca
Woll, Petter
Jacobsen, Sten Eirik W.
Papaemmanuil, Elli
Hellström-Lindberg, Eva
Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
title Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
title_full Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
title_fullStr Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
title_full_unstemmed Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
title_short Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts
title_sort integrated genomic and transcriptomic analysis improves disease classification and risk stratification of mds with ring sideroblasts
topic Translational Cancer Mechanisms and Therapy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570683/
https://www.ncbi.nlm.nih.gov/pubmed/37498312
http://dx.doi.org/10.1158/1078-0432.CCR-23-0538
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